Six fraud patterns that quietly drain receipt promotions
Promotional fraud is rarely dramatic. It looks like ordinary participation, arrives in small amounts, and only becomes visible when the payout total no longer matches the sell-out data. By then the budget is gone. These are the six patterns that show up most often in European receipt promotions, and what actually stops each of them.
1 · The same receipt, many accounts
One valid purchase, photographed once, submitted from a dozen freshly created accounts with different names and bank details. Nothing about the individual entry is wrong, which is why simple duplicate checks on the entry rather than the document miss it. What stops it is a fingerprint of the image itself, compared across every account in the campaign rather than within one.
2 · The edited total
A genuine receipt with the promotional line item pasted in, or the quantity raised from one to three. Consumer photo editing has become good enough that the result survives a human glance. What stops it is analysis of the file rather than the content: compression traces, inconsistent pixel structure around the edited area, and capture metadata that contradicts the claimed purchase time.
3 · The generated receipt
Templates for common retailer layouts circulate in forums, filled in with plausible article numbers and prices. They often look cleaner than reality. What stops them is the structure: line spacing, tax lines, article number ranges and store identifiers of a real chain follow rules that a template rarely reproduces completely.
4 · The organised ring
Not one person cheating a little, but a group running dozens of accounts with rotating addresses and a shared payout channel. Individual entries look harmless. The pattern only appears when entries are correlated: shared devices, timing clusters, recurring bank details, the same image template across supposedly unrelated participants.
5 · The speed pattern
Real people take time. They photograph, they hesitate, they mistype. A script does not. Submission intervals, form-filling speed and the rhythm of repeated entries separate the two more reliably than any single technical signal.
6 · The honest mistake that looks like fraud
The most expensive pattern is the one that is not fraud at all: a blurred photo, a folded receipt, an unusual local format. Reject these automatically and you turn valid customers into complaints, and complaints into public posts. Any screening system that has no human review path will eventually cost more in goodwill than it saves in payouts.
What this means for a campaign budget
Two lessons follow from the list. First, no single check catches everything: patterns 1 and 4 are invisible to document analysis, patterns 2 and 3 are invisible to behavioural analysis. Screening has to work in layers that see different things. Second, the goal is not a rejection rate. A system tuned to reject aggressively looks efficient in a report and quietly destroys the participation the campaign was bought for. Edge cases belong in human adjudication, not in an automatic no.
FIBRE Shield™ runs seven independent screening layers before any payout, from IP checks and behavioural analysis through layout, document, editing and textual analysis to cross-entry fraud detection. Submissions that are unclear rather than fraudulent go to human review instead of being rejected.